Machine Learning Engineer

Detalhes da Vaga

Job Description SIXT is a global market leader in the mobility space and sets the pace for innovation like nobody else.
We are transforming the industry to become fully digitalized and offer our customers an answer to all mobility needs they have.
Our vision is: Transform the world moves, because people expect better.
Join our Data Science team and make the magic happen.
We drive  business processes like pricing and many more with the use of sophisticated algorithms.
For this purpose, we design, develop and maintain state of the art machine learning models and manifold optimization solvers as well as simulation models.
As a member of this team, your work will improve the experience of millions of our customers and have a direct impact on our business results.
Apply now and join our journey and become a part of the SIXT family.
  YOUR ROLE AT SIXT: Develop further and maintain a solid infrastructure within the Data Science team, with a focus on DevOps processes and cloud technologies.  Establish and extend tools to automate our Data Science Tech Stack to continuously enhance MLOps processes, including model deployment and data pipelines.  Ensure a reliable and scalable deployment foundation for our Data Science ML models and algorithms and work closely with other departments like cloud infrastructure.  Collaborate effectively with stakeholders from other departments to achieve our business goals.  Build and maintain infrastructure as code (IaC) using tools like Terraform to manage cloud resources.  Make data science experiments production-ready, monitored, robust, and scalable  Qualifications YOUR SKILLS MATTER: Strong knowledge cloud technologies, ideally in AWS   Solid coding skills in Python and experience with continuous integration/continuous deployment approaches.  Experience with infrastructure as code (IaC), ideally Terraform, is a strong plus  Familiarity with containerization technologies such as Docker and ideally container orchestration systems such as Kubernetes.   Ideally knowledge in operational deployment of machine learning applications  Ideally knowledge of data engineering, including data modeling, database systems, and ETL processes.   Ideally experience with monitoring and logging tools to detect and diagnose issues in machine learning models and the infrastructure supporting them.  Excellent communication and collaboration skills, with fluency in English and an appreciation for cultural diversity.  Additional Information WHAT WE OFFER Generous Time Off Enjoy 28 days of vacation, an additional day off for your birthday, and 1 volunteer day per year Work-Life Balance & Flexibility Benefit from a hybrid working model, flexible working hours, and no dress code Great Employee Benefits Access discounts on SIXT rent, share, ride, and SIXT+, along with partner discounts Training & Development Participate in training programs, external conferences, and internal dev & tech talks designed for your personal growth and development Health & Well-being Private health insurance to support your well-being Additional Perks Enjoy the Coverflex advantage system to enhance your employee experience About us: We are a leading global mobility service provider with sales of €3.07 billion and around 9,000 employees worldwide.
Our mobility platform ONE combines our products SIXT rent (car rental), SIXT share (car sharing), SIXT ride (cab, driver and chauffeur services), SIXT+ (car subscription) and gives our customers access to our fleet of 222,000 vehicles, the services of 1,500 cooperation partners and around 1.5 million drivers worldwide.
Together with our franchise partners, we are present in more than 110 countries at 2,098 rental stations.
At SIXT, a first-class customer experience and outstanding customer service are our top priorities.
We focus on true entrepreneurship and long-term stability and align our corporate strategy with foresight.
Want to take off with us and revolutionize the world of mobility?
Apply now!


Salário Nominal: A acordar

Fonte: Talent_Ppc

Função de trabalho:

Requisitos

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